Numerical Methods for Solving Fuzzy Linear Systems
- Publication Type
- Original research
- Authors
- Fulltext
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In this article, three numerical iterative schemes, namely: Jacobi, Gauss–Seidel and Successive over-relaxation (SOR) have been proposed to solve a fuzzy system of linear equations (FSLEs). The convergence properties of these iterative schemes have been discussed. To display the validity of these iterative schemes, an illustrative example with known exact solution is considered. Numerical results show that the SOR iterative method with ω=1.3 provides more efficient results in comparison with other iterative techniques.
Journal
- Title
- MPDI
- Publisher
- MPDI
- Publisher Country
- Switzerland
- Indexing
- Scopus
- Impact Factor
- None
- Publication Type
- Both (Printed and Online)
- Volume
- 6
- Year
- 2018
- Pages
- 19